JULAIN-Journal-Club.md

@@ -39,8 +39,45 @@ https://arxiv.org/pdf/1612.08544.pdf<br>
 
 ## Schedule for upcoming Meetings
 
-tbd
+### 15 February 2021 Explainable Machine Learning
 
+* Unmasking Clever Hans predictors and assessing what machines really learn<br>
+Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller <br>
+Nat Commun 10, 1096 (2019)<br>
+https://doi.org/10.1038/s41467-019-08987-4<br>
+6 pages 
+
+* Discovering physical concepts with neural networks<br>
+Raban Iten, Tony Metger, Henrik Wilming, Lidia del Rio, Renato Renner <br>
+Physical Review Letters, 124(1), 2020, 010508<br>
+https://arxiv.org/abs/1807.10300<br>
+5 pages + 11 pages Appendix :)
+
+### 15 March 2021 Model uncertainty
+ 
+What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?<br>
+Alex Kendall, Yarin Gal<br>
+NIPS2017<br>
+https://www.semanticscholar.org/paper/What-Uncertainties-Do-We-Need-in-Bayesian-Deep-for-Kendall-Gal/ff7bcaa4556cb13fc7bf03e477172493546172cd <br>
+10 pages
+
+* Weight Uncertainty in Neural Networks<br>
+Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra<br>
+ICML 2015<br>
+https://arxiv.org/abs/1505.05424<br>
+8 pages
+
+### 19 April 2021 Model uncertainty
+* A Simple Baseline for Bayesian Uncertainty in Deep Learning<br>
+Wesley J. Maddox, Timur Garipov, Pavel Izmailov, Dmitry Vetrov, Andrew Gordon Wilson<br>
+Neurisp 2019<br>
+https://proceedings.neurips.cc/paper/2019/file/118921efba23fc329e6560b27861f0c2-Paper.pdf<br>
+9 pages
+ 
+* A General Framework for Uncertainty Estimation in Deep Learning, IEEE Robotics and Automation Letters
+A Loquercio, M Segù, D. Scaramuzza, 2020, 
+https://arxiv.org/pdf/1907.06890.pdf
+8 pages
 
 ## Past Meetings